IDEAS home Printed from https://ideas.repec.org/p/ags/pugtwp/332904.html
   My bibliography  Save this paper

Technical efficiency of corn production in Sinaloa, Mexico

Author

Listed:
  • Becerra-Perez, Luis
  • Lopez-Reyes, Luis

Abstract

This study examines the extent to which technical efficiency is related to certain corn producers’ characteristics. With data gathered by survey, 229 farms in the Sinaloa valley, Mexico are used to estimate a stochastic frontier model in 2016. The main finding of this work is that membership to a farmers’ association has a positive effect on efficiency. There is also a positive relationship between efficiency and formal education, age, property of land and soil analysis. The prevailing level of efficiency among maize producers is 0.84, implying there is room for improvement with the current technology.

Suggested Citation

  • Becerra-Perez, Luis & Lopez-Reyes, Luis, 2017. "Technical efficiency of corn production in Sinaloa, Mexico," Conference papers 332904, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    • Handle: RePEc:ags:pugtwp:332904
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/332904/files/8463.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chavez, Holcer & Nadolnyak, Denis A. & Kloepper, Joseph, 2012. "Stochastic Frontier Analysis of Biological Agents (Microbial Inoculants) Input Usage in Apple Production," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119796, Southern Agricultural Economics Association.
    2. Kalie Pauw & Scott Mcdonald & Cecilia Punt, 2007. "Agricultural efficiency and welfare in South Africa," Development Southern Africa, Taylor & Francis Journals, vol. 24(2), pages 309-333.
    3. K. Kalirajan, 1981. "An Econometric Analysis of Yield Variability in Paddy Production," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 29(3), pages 283-294, November.
    4. Chen, Zhuo & Song, Shunfeng, 2008. "Efficiency and technology gap in China's agriculture: A regional meta-frontier analysis," China Economic Review, Elsevier, vol. 19(2), pages 287-296, June.
    5. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    6. Aditi Bhattacharyya & Sudeshna Pal, 2011. "Financial Reforms and Technical Efficiency in Indian Commercial Banking: A Generalized Stochastic Frontier Analysis," Working Papers 1104, Sam Houston State University, Department of Economics and International Business.
    7. Xiaobing Wang & Supawat Rungsuriyawiboon, 2010. "Agricultural efficiency, technical change and productivity in China," Post-Communist Economies, Taylor & Francis Journals, vol. 22(2), pages 207-227.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Otieno, David Jakinda & Hubbard, Lionel J. & Ruto, Eric, 2011. "Technical efficiency and technology gaps in beef cattle production systems in Kenya: A stochastic metafrontier analysis," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108947, Agricultural Economics Society.
    2. Nwigwe, Cecilia & Okoruwa, Victor & Obi-Egbedi, Oghenerueme, 2015. "Efficiency differentials and technological gaps in beef cattle production systems in Nigeria," 2015 Conference, August 9-14, 2015, Milan, Italy 229377, International Association of Agricultural Economists.
    3. Evenson, Robert E. & Kimhi, Ayal & Desilva, Sanjaya, 2000. "Supervision And Transaction Costs: Evidence From Rice Farms In Bicol, The Philippines," 2000 Annual meeting, July 30-August 2, Tampa, FL 21788, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Coelli, Tim J., 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 1-27, December.
    5. Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
    6. Holtkamp, A.M. & Brummer, B., 2018. "Environmental efficiency of smallholder rubber production," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277518, International Association of Agricultural Economists.
    7. Dhehibi, Boubaker & Lachaal, Lassaad & Elloumi, Mohamed & Messaoud, Emna B., 2007. "Measurement and Sources of Technical Inefficiency in the Tunisian Citrus Growing Sector," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9391, European Association of Agricultural Economists.
    8. Bravo-Ureta, Boris E. & Pinheiro, Antonio E., 1993. "Efficiency Analysis Of Developing Country Agriculture: A Review Of The Frontier Function Literature," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 22(1), pages 1-14, April.
    9. Munir Ahmad & Sarfraz Khan Qureshi, 1999. "Recent Evidence on Farm Size and Land Productivity: Implications for Public Policy," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 38(4), pages 1135-1153.
    10. Sanjaya DeSilva, 2000. "Skills, Partnerships and Tenancy in Sri Lankan Rice Farms," Working Papers 819, Economic Growth Center, Yale University.
    11. Lachaal, Lassaad & Chebil, Ali & Dhehibi, Boubaker, 2004. "A Panel Data Approach to the Measurement of Technical Efficiency and its Determinants: Some Evidence from the Tunisian Agro-Food Industry," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 5(1), pages 1-9, January.
    12. Farnaz Pourzand & Mohammad Bakhshoodeh, 2014. "Technical effici ency and agricultural sustainability–technology gap of maize producers in Fars province of Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(3), pages 671-688, June.
    13. Abdul Wadud, 2013. "Impact of Microcredit on Agricultural Farm Performance and Food Security in Bangladesh," Working Papers 14, Institute of Microfinance (InM).
    14. Federica VIGANO & Andrea SALUSTRI, 2015. "Matching profit and Non-profit Needs: How NPOs and Cooperative Contribute to Growth in Time of Crisis. A Quantitative Approach," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 86(1), pages 157-178, March.
    15. Ngoc-Anh Vo Thi & Dev Vencappa, 2008. "Does the Entry Mode of Foreign Banks Matter for Bank Efficiency? Evidence from the Czech Republic,Hungary, and Poland," William Davidson Institute Working Papers Series wp925, William Davidson Institute at the University of Michigan.
    16. Rupananda Widanage & Catherine Chan & Yin-Phan Tsang & Brent Sipes & Haddish Melakeberhan & Am?lcar Sanchez-Perez & Alfredo Mej?a-Coroy, 2022. "Enhancing Technical Efficiency and Economic Welfare: A Case Study of Smallholder Potato Farming in the Western Highlands of Guatemala," Economia agro-alimentare, FrancoAngeli Editore, vol. 24(1), pages 1-25.
    17. Otieno, David Jakinda & Hubbard, Lionel J. & Ruto, Eric, 2012. "Determinants of technical efficiency in beef cattle production in Kenya," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 125853, International Association of Agricultural Economists.
    18. Bozoglu, Mehmet & Ceyhan, Vedat, 2007. "Measuring the technical efficiency and exploring the inefficiency determinants of vegetable farms in Samsun province, Turkey," Agricultural Systems, Elsevier, vol. 94(3), pages 649-656, June.
    19. Onyenweaku, C.E & Okoye, B.C, 2007. "Technical Efficiency of Small-Holder Cocoyam Farmers in Anambra State, Nigeria, Using a Translog Stochastic Frontier Production Function," MPRA Paper 16282, University Library of Munich, Germany.
    20. Broadstock, David C. & Li, Jiajia & Zhang, Dayong, 2016. "Efficiency snakes and energy ladders: A (meta-)frontier demand analysis of electricity consumption efficiency in Chinese households," Energy Policy, Elsevier, vol. 91(C), pages 383-396.

    More about this item

    Keywords

    Crop Production/Industries;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:pugtwp:332904. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/gtpurus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.